GTM Engineer

Responsibilities

• Integrations & Technical Ownership: Build, maintain and improve the systems, internal automations and integrations that make our sales and CS teams faster and more effective, from the ground up.
• AI-Native Systems: Build, deploy and continuously sharpen AI-native workflows and agents that augment how Sales, CS and the wider Revenue org work, not just automate around the edges.
• Data, Analytics & Problem Solving: Use self-sourced data to diagnose what's actually broken, run root cause analysis, and build the fix yourself, then measure it against real KPIs and keep iterating.
• Cross-Functional Collaboration & Project Ownership: Work directly with Sales, Partnerships, Marketing and Finance to turn half-formed requirements into systems that actually solve the problem.
• Revenue Data Hygiene: Own regular audits, deduplication, enrichment and the process fixes that keep our data usable across every system that touches it.
• Driving Operational Excellence: Spot inefficiencies before anyone asks you to, prioritise ruthlessly, and build the automated solutions that let the function scale without adding headcount.
• This function sits at the intersection of Revenue, Marketing, Finance, Data and Engineering, so you'll get exposure most people spend years angling for. People who do this well tend to move toward GTM strategy, product roles, and beyond. The sky is the limit.

What you'll actually do

What this role could turn into

Who thrives here

You're an AI-native builder who thinks in scale, not one-off fixes, and gets uncomfortable when you spot a manual workaround. You're just as comfortable pairing with Engineering as you are in the room with Sales leadership, translating one for the other without losing anything in the middle. You run towards the hardest, messiest problems, you don't wait for permission, and you don't need a fully-scoped brief before you start. You're always watching what the best GTM teams are building, and you'd rather pitch a bold idea than ship another incremental tweak.

We hire for range

3+ years in RevOps, MarOps, consulting or similar, but tenure isn't the point, trajectory is. Whatever your background, you're an AI-native builder with strong business acumen and a sharp eye for the difference between a good customer experience and a bad one.

You bring fluency in Python (or Node) and SQL, hands-on experience configuring HubSpot and its developer suite, and comfort with automation platforms like Zapier, Pipedream, n8n or UiPath. You've likely configured CPQ, CLM, sales engagement or customer-success platforms before, and just as importantly, you've driven adoption of something you built, not just shipped it and walked away. Extra credit if you've built and deployed AI agents, integrated AI/LLM-based solutions into existing workflows, or built automated pipelines end to end.

Location and working policy

Dublin or London, Hybrid

The good stuff

25 days off, plus public holidays. Private healthcare, life insurance, and pension. Equity, because you should own a piece of what you're building. Generous parental leave for primary and secondary caregivers. 60 days a year to work abroad from wherever you want.

By submitting your application, you acknowledge that Wayflyer Limited will process your personal data for the purpose of evaluating your suitability for the role. Such processing is based on the need to take steps prior to entering into a potential employment agreement. To learn more about how we handle your personal data, you can contact our privacy team at privacy@wayflyer.com or review our privacy notice at https://wayflyer.com/privacy-notice.